Class/Object

org.apache.spark.mllib.fpm

AssociationRules

Related Docs: object AssociationRules | package fpm

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class AssociationRules extends Logging with Serializable

Generates association rules from a RDD[FreqItemset[Item]]. This method only generates association rules which have a single item as the consequent.

Annotations
@Since( "1.5.0" )
Source
AssociationRules.scala
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Serializable, Serializable, Logging, AnyRef, Any
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  1. AssociationRules
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Instance Constructors

  1. new AssociationRules()

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    Constructs a default instance with default parameters {minConfidence = 0.8}.

    Constructs a default instance with default parameters {minConfidence = 0.8}.

    Annotations
    @Since( "1.5.0" )

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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  12. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  13. final def isInstanceOf[T0]: Boolean

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  14. def isTraceEnabled(): Boolean

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  15. def log: Logger

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    Logging

  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  17. def logDebug(msg: ⇒ String): Unit

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  18. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  19. def logError(msg: ⇒ String): Unit

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  20. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  21. def logInfo(msg: ⇒ String): Unit

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  22. def logName: String

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  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  24. def logTrace(msg: ⇒ String): Unit

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  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  26. def logWarning(msg: ⇒ String): Unit

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  27. final def ne(arg0: AnyRef): Boolean

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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

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  30. def run[Item](freqItemsets: JavaRDD[FreqItemset[Item]]): JavaRDD[Rule[Item]]

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    Java-friendly version of run.

    Java-friendly version of run.

    Annotations
    @Since( "1.5.0" )

  31. def run[Item](freqItemsets: RDD[FreqItemset[Item]], itemSupport: Map[Item, Double])(implicit arg0: ClassTag[Item]): RDD[Rule[Item]]

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    Computes the association rules with confidence above minConfidence.

    Computes the association rules with confidence above minConfidence.

    freqItemsets

    frequent itemset model obtained from FPGrowth

    itemSupport

    map containing an item and its support

    returns

    a RDD[Rule[Item]] containing the association rules. The rules will be able to compute also the lift metric.

    Annotations
    @Since( "2.4.0" )

  32. def run[Item](freqItemsets: RDD[FreqItemset[Item]])(implicit arg0: ClassTag[Item]): RDD[Rule[Item]]

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    Computes the association rules with confidence above minConfidence.

    Computes the association rules with confidence above minConfidence.

    freqItemsets

    frequent itemset model obtained from FPGrowth

    returns

    a RDD[Rule[Item]] containing the association rules.

    Annotations
    @Since( "1.5.0" )

  33. def setMinConfidence(minConfidence: Double): AssociationRules.this.type

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    Sets the minimal confidence (default: 0.8).

    Sets the minimal confidence (default: 0.8).

    Annotations
    @Since( "1.5.0" )

  34. final def synchronized[T0](arg0: ⇒ T0): T0

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  35. def toString(): String

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  36. final def wait(): Unit

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  37. final def wait(arg0: Long, arg1: Int): Unit

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  38. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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